ML Ops Engineer

15 hours ago

bangalore, India SatSure Full time

We are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation.About SatSure:SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.Join us to be at the forefront of building a deep tech company from India that solves problems for the globe. Roles & Responsibilities:Architect, build and integrate end-to-end life cycles of large-scale, distributed machine learning systems i.e. ML Ops using cutting-edge tools/frameworks.Develop tools and services for explainability of ML solutions.Implement distributed cloud GPU training approaches for deep learning models.Build software/tools that improve the rate of experimentation for the research team and extract insights from it.Identify and evaluate new patterns and technologies to improve the performance, maintainability, and elegance of our machine learning systems.Contribute to and execute technical projects to completion. Collaborate with peers to develop requirements and monitor progress.Collaborate with engineers across various functions to solve complex data problems at scale.Qualification:5 - 8 years of professional experience in implementing MLOps framework to scale up ML in production.Master's degree or PhD in Computer Science, Machine Learning / Deep Learning domainsMust-haves:Hands-on experience with orchestration and pipeline tools like Kubernetes, Apache Airflow, etc., and ML lifecycle management tools such as MLflow, SageMaker, or similar, covering model training, inference, evaluation, and deployment.Proficient in deploying ML models using frameworks like Ray Serve, TorchServe, TensorFlow Serving, or NVIDIA Triton Inference Server.Strong foundation in ML model training frameworks such as PyTorch, PyTorch Lightning, TensorFlow, etc.Experience leveraging GPU computing for parallel processing of data and model training.Solid software engineering skills with a track record of building production-grade systems.Advanced programming skills in Python.Proven experience in designing and implementing end-to-end data systems in roles like ML Engineer, ML Platform Engineer, or similar.Familiarity with cloud-based data processing tools and services such as AWS (S3, ECR, Lambda), Spark, Dask, Elasticsearch, Presto, and SQL.Exposure to geospatial or remote sensing data is an added advantage.Core Competencies:Strong debugging and critical thinking capabilities.Excellent analytical and problem-solving skills.Ability to thrive in fast-paced, collaborative team environments. Benefits:Medical Health Cover for you and your family, including unlimited online doctor consultationsAccess to mental health experts for you and your familyDedicated allowances for learning and skill developmentComprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leavesTwice a year appraisalInterview Process:Intro callAssessmentPresentationInterview rounds (ideally up to 3-4 rounds)Culture Round / HR round

  • ML Ops Engineer

    1 week ago

    bangalore, India Agiliad Full time

    Job Title: ML Ops EngineerLocation: BangaloreExperience: 38 YearsEmployment Type: Full-timeAbout the RoleWe are looking for a skilled ML Ops Engineer to design, build, and optimize scalable machine learning (ML) infrastructure and pipelines. You will collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models for production...

  • ML Ops

    2 weeks ago

    bangalore, India EXL Full time

    Prior ~2+ years of experience working with ML Ops & DS Responsibilities & Skills : Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions) . Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools . Containerize and orchestrate workloads with Docker &...

  • ML Ops

    2 weeks ago

    bangalore, India EXL Full time

    Prior ~2+ years of experience working with ML Ops & DS Responsibilities & Skills: Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions) . Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools . Containerize and orchestrate workloads with Docker &...

  • ML Ops Engineer

    16 hours ago

    bangalore district, India SatSure Full time

    We are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation. About SatSure: SatSure is a deep tech, decision Intelligence company that works primarily at...

  • Sr. ML Ops Platform Engineer

    2 weeks ago

    bangalore, India Amicon Hub Services Full time

    We’re Hiring: Senior MLOps / DevOps Engineer (for one of our esteemed clients) Location: PAN India (Gurugram, Noida, Bangalore, Chennai, Hyderabad, Pune) Experience: 7+ Years Domain: AI / ML Infrastructure & Automation About the Company We’re looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client’s growing team....

  • ML Ops Engineer

    2 weeks ago

    bangalore, India Wenger & Watson Full time

    Experience - 5 - 10 yrsLocations - Bangalore, Chennai, Mumbai, Pune, HyderabadKey ResponsibilitiesDesign, develop, and deploy machine learning models using AWS SageMaker for various business applicationsImplement end-to-end ML pipelines from data preprocessing to model serving and monitoringBuild and maintain automated model training, validation, and...

  • ML Ops Engineer

    11 hours ago

    bangalore, India DAT Full time

    About DATDAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on...

  • AI/ML Engineer

    15 hours ago

    bangalore, India Edstem Technologies Full time

    About the RoleWe are seeking an experienced AI/ML Engineer with a strong background in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate will have hands-on expertise across the full ML lifecycle—from data exploration and feature engineering to model training, optimization, and production deployment....

  • AI/ML Lead Engineer

    6 days ago

    bangalore, India Innocito Full time

    Hello,We are hiring for AI/ML Lead to work with our Product based client in Hyderabad.Location : HyderabadWork from officeFulltimeBachelor's or master's degree in computer science or equivalent degree or demonstrable experience.Proven experience as a Lead Software Engineer in AI/ML and Data Science.Minimum of 8+ years of working experience.Leadership...

  • Lead ML Engineer

    1 week ago

    Bangalore, India ANSR Full time

    About 4flow: Headquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management. More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world. 4flow develops and implements lean, agile and sustainable supply chain...